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Civils

civils.ai
◐Moderate Risk
Updated August 21, 2026

Civils.ai is an AI tool for the construction/AEC sector that processes construction drawings, geotechnical reports, and project documents. Only a single Privacy Policy was accessible; every Terms of Service, EULA, and DPA URL was inaccessible, so ownership of inputs/outputs, training use, and enterprise carve-outs cannot be verified. The Privacy Policy claims GDPR and Singapore-law compliance but names no third-party certifications (no SOC 2, ISO 27001, or ISO 42001), provides only a thin security description, and is entirely silent on whether user-uploaded documents are used for model training. The policy also grants law-enforcement disclosure without notice. For a tool handling proprietary construction documents worth billions in projects, the absence of the core commercial agreements and any training/ownership terms makes this moderate-to-high risk pending contractual review.

AI Transparency Facts

Independent analysis by TermsWatchdog · © 2026 TermsWatchdog

Input Data Ownership

Moderate Risk

The Privacy Policy addresses only personal data, stating you own your information, but says nothing about ownership of uploaded construction drawings, documents, prompts, or project files — which are the core inputs to this product. The governing Terms of Service and EULA were inaccessible, so no input-data licence or ownership grant could be reviewed. This silence around the tool's primary asset (proprietary drawings) is a material gap.

Confidence
40%

Output Data Ownership

Moderate Risk

The Privacy Policy does not address ownership of AI-generated outputs such as takeoffs, measurements, extracted borehole data, or annotated PDFs. No Terms of Service or EULA was accessible to establish who owns generated results. This is a significant gap for a tool whose deliverables are commercial estimating outputs.

Confidence
30%

Training Data Usage

Moderate Risk

The policy states that only anonymous usage data is used to improve services and is silent on whether uploaded documents, drawings, or prompts are used to train or fine-tune models. For an AI tool that ingests proprietary construction documents, the absence of any explicit no-training commitment is a notable risk. No enterprise or EULA text was available to clarify.

Confidence
45%

Data Retention & Deletion

Low Risk

The policy provides a clear deletion pathway and a concrete 14-day deletion SLA once a request is confirmed, with retention tied to service provision. Data may be retained longer where legally required. There is no explicit schedule for security/audit-log retention, but the consumer-facing deletion commitment is above average.

Confidence
70%

Third-Party Data Sharing

Moderate Risk

The policy commits not to share personal information with outside parties except for legally compelled disclosures, absent explicit user permission. However, it does not name any sub-processors, cloud hosts, or third-party AI model providers, which an AI document-processing product almost certainly relies on. The internal inconsistency (referring to 'two categories' then 'three categories') creates ambiguity about the scope of sharing.

Confidence
50%

Opt-Out Rights

Low Risk

The policy provides explicit opt-out mechanisms for non-essential data, marketing communications, and cookies, including email unsubscribe links and account settings controls. Declining non-essential data carries no consequences to access. These are meaningful, clearly stated opt-out rights.

Confidence
70%

Compliance & Certifications

Moderate Risk

The policy claims compliance with GDPR and Singapore data laws but names no third-party attestations or certifications. No SOC 2, ISO 27001, ISO 27018, ISO 42001, NIST CSF, or EU AI Act references appear. For an enterprise SaaS tool the absence of any audited certification means claims rest on self-assertion only.

Confidence
55%

Model Explainability & Auditability

High Risk

The Privacy Policy is entirely silent on model transparency, explainability, or enterprise audit rights. No accessible document describes how AI decisions are made, logged, or reviewed at a systems level. This silence is a risk for a tool producing commercial measurements and compliance checks.

Confidence
30%

Security Practices & Breach History

Moderate Risk

The policy discloses TLS-secured connections, security software/virus scanners, and email-authentication standards (DKIM/SPF/DMARC), but does not mention encryption at rest, access controls, penetration testing, bug bounties, or incident response. No breach history is disclosed and no dedicated security page or trust center is referenced. The disclosed controls are minimal for an enterprise document-processing platform.

Confidence
55%

Enterprise vs. Consumer Risk Delta

Moderate Risk

The single Privacy Policy applies to the website and services generally and does not distinguish free from paid or enterprise tiers. No enterprise agreement, MSA, or DPA was accessible to determine whether business customers receive stronger data-handling terms. The delta cannot be assessed from the available text.

Confidence
25%

Human Review of User Inputs

Moderate Risk

The Privacy Policy does not address whether staff may read user prompts, uploaded documents, or outputs. The product surface indicates a QA team reviews and verifies AI measurements, implying human access to user-uploaded drawings, but the policy itself contains no disclosure or control governing such review. This gap between apparent practice and policy silence is a concern.

Confidence
35%

Regulatory & Litigation Exposure

Moderate Risk

The policy states it will comply with legal requests from courts, judges, or law enforcement, and may do so without user permission or notice. No pending litigation or transparency reporting is disclosed. The no-notice disclosure provision is common but user-unfavorable.

Confidence
60%

PII & SPI Data Inventory

Moderate Risk

The policy states it collects email address and payment information as identifiable PII, plus anonymized usage data via optional cookies. It does not inventory the contents of uploaded documents (which may contain project, site, or personnel data) and does not clearly enumerate device identifiers or IP data. Payment/financial data is collected, and disclosure is adequate for the named PII but incomplete regarding document contents.

Confidence
55%

Policy–Product Currency

High Risk

No effective date, published date, or last-updated date appears anywhere in the Privacy Policy, so recency cannot be established. The product is explicitly AI-first (AI takeoffs, AI agents, document extraction), yet the policy never mentions AI/ML processing, model training, or third-party model providers. The combination of no discoverable date and no coverage of the AI capabilities the product ships justifies a RED rating.

Confidence
40%

Cross-Document Consistency

Moderate Risk

Only one document (the Privacy Policy) was retrievable, so a cross-document consistency check across Terms, DPA, or security pages is impossible. Within the single document there is a minor internal inconsistency (referring to 'two categories' then 'three categories' of disclosure), which is not a cross-document contradiction. No cross-document contradictions can be asserted.

Confidence
20%

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